Lihong Gu

34 papers A* 12A 6Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts.
AAAI
Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou
2025 A* conf
MS-RAG: Simple and Effective Multi-Semantic Retrieval-Augmented Generation.
EMNLP
Xiaozhou You, Yahui Luo, Lihong Gu
2024 A* conf
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.
AAAI
Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou
2024 A conf
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
CIKM
Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
2024 J jnl
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
CoRR
Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
2024 — conf
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
WWW (Companion Volume)
Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou
2024 A* conf
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation.
KDD
Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu
2024 A* conf
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
WWW
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2024 J jnl
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
CoRR
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2024 A conf
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
CIKM
Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang
2023 A* conf
Alleviating Matching Bias in Marketing Recommendations.
SIGIR
Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu
2023 — conf
Global-Aware Model-Free Self-distillation for Recommendation System.
DASFAA (4)
Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu
2023 A conf
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning.
WSDM
Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
2023 J jnl
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning.
CoRR
Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
2023 A* conf
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems.
SIGIR
Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
2023 J jnl
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems.
CoRR
Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
2023 A* conf
Multi-Objective Online Learning.
ICLR
Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu
2022 — conf
A Multi-Task Learning Approach for Delayed Feedback Modeling.
WWW (Companion Volume)
Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu
2022 A* conf
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
SIGIR
Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo
2022 A conf
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.
CIKM
Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2022 A* conf
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.
NeurIPS
Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
2022 A* conf
Imbalance-Aware Uplift Modeling for Observational Data.
AAAI
Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
2022 — conf
Research on Improvement and Optimization of A* Algorithm in Robot Path Planning.
RICAI
Xingjian Ji, Lihong Gu, Zhenfeng Fu, Ming Ouyang, Renti Liu
2022 A conf
Scope-aware Re-ranking with Gated Attention in Feed.
WSDM
Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu
2021 J jnl
A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning.
CoRR
Tianchi Cai, Wenpeng Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu
2021 — conf
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction.
ECML/PKDD (3)
Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
2021 J jnl
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction.
CoRR
Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
2021 A conf
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.
CIKM
Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
2021 J jnl
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.
CoRR
Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
2021 A* conf
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing.
AAAI
Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu
2021 — conf
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign.
DASFAA (3)
Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu
2021 J jnl
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign.
CoRR
Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu
2014 — conf
A low complexity PTS algorithm for PAPR reduction in OFDM system based on hamming distance.
ISCIT
Shuyan Ding, Shibao Li, Jianhang Liu, Haiyan Wang, Zhaozhi Gu, Lihong Gu
2012 — conf
The critical success factors for websites for Chinese migrant farmer workers: a multi-case study.
ICEGOV
Fang Wang, Lihong Gu